Evaluating and improving the robustness of security attack detectors generated by LLMs
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DOI: 10.1007/s10664-025-10743-w
Abstract: Large Language Models (LLMs) are increasingly used in software development to generate functions, such as attack detectors, that implement security requirements. A key challenge is ensuring the LLMs have enough knowledge to address specific security… read more here.
Keywords: attack detectors; self ranking; improving robustness; evaluating improving ... See more keywords